Ayotunde Ajayi

Backend & Distributed Systems Engineer(Rust/Javascript) | DeepLearning/Computer Vision(Pytorch and Pytorch3d)

[Josh Woodward @joshwoodward]

2 weeks ago: Gemini 4 Argon
Today: Gemini 4 Carbon

The frontier is fast, and the internal vibes on this model are good. Rolling out to cyber defenders first, then more widely available as the next step!

[GitHub @github]

Catching up on #GitHubUniverse? From Copilot Fusion to infrastructure investments, here's what you missed from the day 1 keynote. https://t.co/LhCqsfxBXs

[SmartAR @SmartAR_tailor]

That outfit that used to fit perfectly suddenly feels like a personal problem.

Your body changes. Your measurements can too.

With SmartAR, get measurements whenever you need them,so you’re not relying on old measurements.

#SmartAR #FashionTech #Tailoring #MadeToMeasure

[SmartAR @SmartAR_tailor]

The future of African fashion is digital.

SmartAR is building the infrastructure to help designers work remotely and take African fashion global.

Swipe through the numbers driving our mission.

#SmartAR #FashionTech #AfricanFashion

[SmartAR @SmartAR_tailor]

Let's talk about bespoke fashion.

Every repeat fitting is time that can't be recovered.

How much time and stress are wasted on repeat fittings and manual measurement errors?
Vote below.👇

#SmartAR #FashionTech #MadeToMeasure #Tailoring #AI #ComputerVision

[Cline @cline]

Cline has signed the Open Weights letter, and we're proud to be a part of this movement.

Millions of developers use open weights in Cline because they're cheaper, address data privacy concerns, or meet regulatory restrictions.

To celebrate, we're making GLM 5.2 free in Cline!

[SmartAR @SmartAR_tailor]

Tailor-ready measurements in 3 steps.

🔄 Turn. 📏 Measure. ✨ Share.

In under 3 minutes, SmartAR creates a 3D model and extracts precise body measurements using just your phone camera.

[SmartAR @SmartAR_tailor]

Made-to-measure, made for every phone.

SmartAR Tailor turns any smartphone into a precise body-measuring tool. Capture 20+ tailor measurements with one slow turn in front of a phone camera,no tape measures,no shop visits.

Follow our journey.
#SmartARTailor #SmartAR #FashionTech

[Ayotunde Ajayi @yotstack]

@alishaz1221 Hi

[Ayotunde Ajayi @yotstack]

@Kingvannytz_ @grok gives me similar series to "the 100"

[Ayotunde Ajayi @yotstack]

@ashebytes Most definitely!

[Ayotunde Ajayi @yotstack]

@hannahkmi Hi interested

https://t.co/ZsoN78lmZX
https://t.co/Jw14VKyOSL

[ashe @ashebytes]

I have a theory that life meets you at your level of audacity

[Ayotunde Ajayi @yotstack]

I applied using [email protected]

[Ayotunde Ajayi @yotstack]

Hi @InterswitchGRP @InterswitchDev — I applied via your portal on Feb 4 for a backend engineering internship and received a confirmation email. Is there an alternate route or timeline I should be aware of? I'm a 400L CompEng student with production NestJS/Rust experience.

[Ayotunde Ajayi @yotstack]

Happy to share my CV again.

[SumitX @Sumits_X]

Preparing for a Backend Engineer role ?

Just DSA isn't enough

Here are 10 topics that you must learn :

1. Concurrency & Parallelism
Threads vs async, race conditions, locks, deadlocks, queues

2. System Design : Design scalable systems (e.g., Dropbox, URL shortener), talk trade-offs: CAP, consistency, availability, latency.

3. Databases & Caching : Normalize vs denormalize, secondary indexes, Redis vs Memcached, cache invalidation, eventual consistency.

4. Distributed Systems Fundamentals :
Leader election, replication, partition tolerance, distributed locking, failure recovery.

5. Reliability Patterns: Retries with backoff, circuit breakers, bulkheads, graceful degradation, chaos testing.

6. Message Queues & Async Flows :
Kafka, RabbitMQ, or SQS : delivery guarantees, deduplication, replay strategies, ordering.

7. Security : OAuth2, JWT pitfalls, mTLS for internal traffic, securing webhooks & service-to-service calls.

8. Observability: Structured logs, tracing (OpenTelemetry), metrics, alerting : debug distributed requests across services.

9. Common Coding Challenges : LRU cache, rate limiter, task scheduler, producer-consumer, flatten nested data structures

10. Performance Tuning : Memory leaks, CPU bottlenecks, slow DB queries, N+1 problems

[Ayotunde Ajayi @yotstack]

@rustjobs_dev @Archie_Amari Please I need a remote internship(Backend engineering) with rust

[Ayotunde Ajayi @yotstack]

@rustjobs_dev @Archie_Amari Please I need a remote internship(Backend engineering) with rust

[Ayotunde Ajayi @yotstack]

@Archie_Amari Please I need a remote internship(Backend engineering) with rust